{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "77a26d9c-6c3d-4e1e-8727-87ef843a93ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandas import Series, DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6533d0eb-9417-4f2d-bbf5-4d062ea7b8f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "s = Series([10, 15, 17, 20, 25])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "94648557-6abc-4a53-977d-1fe0bad3f577",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot.box()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "be033759-19c0-45d5-8d7c-321240099f49",
   "metadata": {},
   "outputs": [],
   "source": [
    "s = Series([-20, 10, 15, 17, 20, 25, 40])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d5cb65d5-131a-44c3-88da-b83c4bb47efd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot.box()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "44dbe421-8b6d-43b9-813d-f1bd4c06e766",
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = '../data/new+york,ny.csv'\n",
    "df = pd.read_csv(filename, usecols=[1, 2],\n",
    "                 header=0,\n",
    "                names=['high', 'low'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5c08f23d-0305-461b-a31a-92a153baf889",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='high', ylabel='low'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NV8Hnt7/9rbq6ulRYWNhje2Fhodra2qK+pr6+Xnl5eZFHSUlJJkoFYAgTGmsGQ10x93fG2e/UMUw4DyDdfBV8krF27Vp1dnZGHq2trW6XBCCDTGismZs1OOb+vDj7nTqGCecBpJuvgs/o0aM1ePBgtbe399je3t6uoqKiqK/JyspSbm5ujwcAe5jQWPPtOKueElkV5cQxTDgPIN18FXyGDh2qT37yk9q3b19kW3d3t/bt26fp02P/hQZgLxMaa86dVDCg7ek6hgnnAaSTL5ezV1dX67vf/a4qKir07LPP6kc/+pGOHTvWZ+5PNCxnB+xlQmPNqXV71Jni/W+cOIYJ5wEMRFqblF6+fFnZ2dkpFZhO3/72tyM3MJw2bZqee+45VVZWJvRagg8AAN6T1uCTnZ2tiooK3XvvvZo1a5ZmzJihYcOGpVSwKQg+AAB4T1pvYPif//mfmj9/vhobG7Vo0SLddNNNuueee/T4449r7969SRcNAACQTinP8bl69ap+/vOf67vf/a527typ7u5udXV5914NXPEBAMB7En3/TrpJ6a9+9SsdOHAg8giFQrrvvvs0a9asZA8JANYzpblnqk1KnWj4CqRDUld8br75Zv3ud7/TrFmzNGvWLN17770qLy9XIBBIR40ZxRUfAG4wpblnqk1KnWj4CiQjrXN8CgoK9OGHH6qtrU1tbW1qb2/X7373u6SLBQDbmdLcM9UmpU40fAXSKang09TUpLa2NtXU1CgUCunrX/+6Ro8erRkzZujxxx93ukYA8DVTmnum2qTUiYavQLolPccnPz9fn/3sZ/WpT31KM2bM0L/927/p1VdfVWNjozZu3OhkjQDga6Y090y1SakTDV+BdEvqis+//Mu/aOXKlSovL1dhYaFWrFihS5cu6ZlnntGRI0ecrhEAfM2U5p6pNil1ouErkG5JTW4eM2aM/viP/zgysXnKlCnpqM0VTG4G4IbxNbv73ffepirP1GHKecA+aV3Ofu7cuaQLAwD0NXdSQdSJzJlu7llbNSnqROREm5Sm+nog3ZK+gWFXV5d27dqlo0ev/YJPnjxZixYt0uDBmbkkmy5c8QHgJlOae6bapNSJhq/AQKS1V1dzc7P+9E//VL/5zW80ceJESdLx48dVUlKi3bt367bbbku+cpcRfAAA8J603sdn5cqVuu2229Ta2qojR47oyJEjamlpUWlpqVauXJl00QAAAOmU1ByfN998U4cOHdLIkSMj20aNGqVNmzbpU5/6lGPFAQAAOCmpKz5ZWVm6ePFin+2XLl3S0KFDUy4KAAAgHZK64nPfffdp+fLleumll1RRca2HTGNjo7785S/rs5/9rKMFAjCfCQ0pTahBSr3JqCnnAfhVUpObOzo6VF1drddee0033HCDJOn3v/+9Fi1apFdeeUX5+flO15kxTG4GEmdCQ0oTapBSbzJqynkAXpXWVV0faW5ujixnnzRpkiZMmJDsoYxB8AESZ8LN6kyowYk6TDkPwKscDz6rV69O+Jtv2bIl4eeahuADJGbxtgb99OSFfvfPnDAq7R/VmFCDdP3jrf7E+9jLlPMAvMzxOzf/13/9V0LPCwQCiR4SgIeZ0JDShBqk1JuMmnIegA0SDj779+9PZx0APKa8OC/mVYpMNKQ0oQbpWpPReFd8YjHlPAAbJLWcHQB2Lp8ec38mPpoxoQZJejvO6q14q7tMOQ/ABgQfAEnrr/FkJhtSmlCD1H8z0USbjJpyHoDfpbSqy4+Y3AwMnAkNKU2oQUq9yagp5wF4TUaWs/sRwQcAAO9Ja5NSAAAALyL4AAAAaxB8AACANZJqUgoAf8gvjTX/sG2EW20iSmt2K6xr/ys9SasKwHFMbu6Fyc1A4vzSWLO/PlkBSacyFD5mb96nUxcu99l+R0GO3lgzOyM1AF7G5GYAaRct9EjSht1HM1xJemTyf4XRQo8k/er9DzNYBeB/BB8ASVm8rSHm/iUvHspQJamJ1RU9kf1OKI3zPcoyUANgC4IPgKTQWNM58a4sdWekCsAOBB8ASSkvzou5n8aaiQvE2c8/1IBz+PsEICl+aawZb/VWJlZ3xZtAzeouwDkEHwBJ80tjzf6uuMS7EuOkOwpyBrQdQHJYzt4Ly9mBgfNLY00T7uNTVrNb3eI+PsBA0aQ0SQQfAAC8h/v4AAAA9ELwAQAA1iD4AAAAa9CkFEDKUm1S6pcmp6bwy3j65TxgFiY398LkZiBxqTYp9UuTU1P4ZTz9ch7ILCY3A0i7VJuU+r3Jaab5ZTz9ch4wE8EHQFJSbVLqlyanpvDLePrlPGAugg+ApKTapJQmp87yy3j65TxgLoIPgKSk2qSUJqfO8st4+uU8YC6CD4CkpNqk1C9NTk3hl/H0y3nAXAQfAElLtUmpX5qcmsIv4+mX84CZWM7eC8vZgYFLtUmpX5qcmsIv4+mX80Bm0KQ0SQQfAAC8h/v4AAAA9ELwAQAA1iD4AAAAa/iqSen48eP161//use2+vp61dTUuFQRYL7yuj0KhrqUlzVYv1w/P6lj+KWZpBPn4cR4AkgfX01uHj9+vB566CEtW7Yssm3EiBEaPnx4wsdgcjNs8cBLh7T/xPk+2+dOKtC26oqEjuGXZpJOnIcT4wkgedZObh4xYoSKiooij4GEHsAm0d6kJemNo+8nfAy/NJN04jycGE8A6ee74LNp0yaNGjVKn/jEJ/T000/r6tWrMZ8fCoUUDAZ7PAC/K6/bE3P/1Dj7Jf80k3TiPJwYTwCZ4as5PitXrtSdd96pkSNH6uDBg1q7dq3Onj2rLVu29Pua+vp6rV+/PoNVAu4Lhrpi7u+Ms1/yTzNJJ87DifEEkBnGX/GpqalRIBCI+Th27JgkafXq1Zo1a5bKy8v15S9/Wc8884yef/55hUKhfo+/du1adXZ2Rh6tra2ZOjXANblZg2Puz4uzX/JPM0knzsOJ8QSQGcZPbn7//fd1/nz0z84/UlZWpqFDh/bZ/s477+iP/uiPdOzYMU2cODGh78fkZthifM3ufve9t6kqY8cwAWMBeF+i79/Gf9RVUFCggoKCpF7b1NSkQYMGacyYMQ5XBXjf3EkFUSfezp2U+N+32qpJUScAe62ZpBPn4cR4Akg/46/4JKqhoUGNjY2aPXu2RowYoYaGBn31q1/VggULtGPHjoSPwxUf2GZq3R51pnjfGb80k3TiPJwYTwADZ12T0iNHjugrX/mKjh07plAopNLSUi1ZskSrV69WVlZWwsch+AAA4D2++agrUXfeeacOHfLG8lkAAOAO41d1AQAAOIXgAwAArOGbj7oAJMeExpx+auzpl4atgF/5ZnKzU5jcDFuY0JjTT409/dKwFfAqa5uUAkiMCY05/dTY0y8NWwG/I/gAFjKhMaefGnv6pWErYAOCD2AhExpz+qmxp18atgI2IPgAFjKhMaefGnv6pWErYAOCD2Chncunx9yfyGqkt+Osvoq3OivV15vEifEEkBkEH8BS/TXgHGhjzoFsd/r1JnFiPAGkH8vZe2E5O2xjQmNOPzX29EvDVsBrrGtS6hSCDwAA3sN9fAAAAHoh+AAAAGsQfAAAgDUIPgAAwBoEHwAAYA2CDwAAsAbBBwAAWIPgAwAArEHwAQAA1iD4AAAAaxB8AACANQg+AADAGgQfAABgDYIPAACwBsEHAABYY4jbBQBw1+JtDXr7TKem3ZKv73/pbrfLAYC04ooPYKltbzZrfM1u/fTkBV283KW3ms9rfM1uvfzWSbdLA4C0IfgAlnrq9eNRt2/YfTTDlQBA5hB8AAst3tYQc/+SFw9lqBIAyCyCD2Cht890xtzfdLojM4UAQIYRfAALlRfnxdw/7Zb8zBQCABlG8AEstHP59Jj7Wd0FwK8IPoClaqsmDWg7APhBIBwOh90uwiTBYFB5eXnq7OxUbm6u2+UAabfkxUNqOt3BfXwAeFqi79/cwBCwHGEHgE34qAsAAFiD4AMAAKxB8AEAANZgjg8AXzCl2aopdQCIjlVdvbCqC/CWbW82R+07Vls1SQ/OLLOuDsBWib5/81EXAE8zpdmqKXUAiI3gA8CzTGm2akodAOIj+ADwLFOarZpSB4D4CD4APMuUZqum1AEgPoIPAM8ypdmqKXUAiI/gA8DTTGm2akodAGJjOXsvLGcHvMmUZqum1AHYJtH3b4JPLwQfAAC8h/v4AAAA9ELwAQAA1iD4AAAAa9CkFLAcTTUB2MQzV3w2btyoGTNmKCcnR/n5+VGf09LSoqqqKuXk5GjMmDH62te+pqtXr2a2UMAjtr3ZrPE1u/XTkxd08XKX3mo+r/E1u/XyWyfdLg0A0sYzwefKlSu6//77tWLFiqj7u7q6VFVVpStXrujgwYPasWOHtm/frtra2gxXCngDTTUB2Mhzy9m3b9+uVatWqaOjo8f2119/Xffdd5/OnDmjwsJCSdLWrVv12GOP6f3339fQoUOjHi8UCikUCkW+DgaDKikpYTk7fG3xtgb99OSFfvfPnDCKj70AeIp1y9kbGho0ZcqUSOiRpHnz5ikYDOqdd97p93X19fXKy8uLPEpKSjJRLuAqmmoCsJVvgk9bW1uP0CMp8nVbW1u/r1u7dq06Ozsjj9bW1rTWCZiAppoAbOVq8KmpqVEgEIj5OHbsWFpryMrKUm5ubo8H4Hc01QRgK1eXs69Zs0ZLly6N+ZyysrKEjlVUVKSf/exnPba1t7dH9gHoqbZqUtSJzDTVBOBnrgafgoICFRQUOHKs6dOna+PGjTp37pzGjBkjSdq7d69yc3M1efJkR74H4CcPzizTgzPLaKoJwCqeuYFhS0uLLly4oJaWFnV1dampqUmSNGHCBN14442aO3euJk+erCVLlmjz5s1qa2vTE088oYcfflhZWVnuFg8YjLADwCaeWc6+dOlS7dixo8/2/fv3a9asWZKkX//611qxYoUOHDig4cOHq7q6Wps2bdKQIYnnO7qzAwDgPYm+f3sm+GQKwQcAAO+x7j4+AAAA8Xhmjg8AxEKzVQCJ4IoPAE+j2SqAgSD4APA0mq0CGAiCDwDPWrytIeb+JS8eylAlALyC4APAs2i2CmCgCD4APItmqwAGiuADwLNotgpgoAg+ADytv6aqNFsFEA13bu6FOzcD3kSzVcBuib5/cwNDAL5A2AGQCD7qAgAA1iD4AAAAaxB8AACANZjjAySJppgA4D1c8QEGiKaYAOBdBB9ggGiKCQDeRfABBoCmmADgbQQfYABoigkA3kbwAQaAppgA4G0EH2AAaIoJAN5G8AEGiKaYAOBdNCnthSalSBRNMQHAHDQpBdKMsAMA3sNHXQAAwBoEHwAAYA2CDwAAsAZzfAAPo1EqAAwMV3wAD6JRKgAkh+ADeBCNUgEgOQQfwGNolAoAySP4AB5Do1QASB7BB/AYGqUCQPIIPoDH0CgVAJJH8AE8iEapAJAcmpT2QpNSeAmNUgHgGpqUAhYg7ADAwPBRFwAAsAbBBwAAWIPgAwAArMEcnwyhmeR1jAUAwC2s6urF6VVd295sjtpXqbZqkh6cWZby8b2EsQAApEui79981JVmNJO8jrEAALiN4JNGNJO8jrEAAJiA4JNGNJO8jrEAAJiA4JNGNJO8jrEAAJiA4JNGNJO8jrEAAJiA4JNmNJO8jrEAALiN5ey9pKtJKc0kr2MsAABOS/T9m+DTC93ZAQDwHu7jAwAA0AvBBwAAWIPgAwAArOGZ4LNx40bNmDFDOTk5ys/Pj/qcQCDQ5/GDH/wgs4UCAABjeaY7+5UrV3T//fdr+vTpeumll/p93iuvvKL58+dHvu4vJAEAAPt4JvisX79ekrR9+/aYz8vPz1dRUVEGKgIAAF7jmY+6EvXwww9r9OjRqqio0Msvv6x4q/VDoZCCwWCPBwAA8CfPXPFJxIYNG/TpT39aOTk5euONN/SVr3xFly5d0sqVK/t9TX19feRqEgAA8DdXb2BYU1Ojb33rWzGfc/ToUX3sYx+LfL19+3atWrVKHR0dcY9fW1urV155Ra2trf0+JxQKKRQKRb4OBoMqKSnhBoYAAHhIojcwdPWKz5o1a7R06dKYzykrK0v6+JWVlfrGN76hUCikrKysqM/Jysrqdx8AAPAXV4NPQUGBCgoK0nb8pqYm3XTTTQMKNh9dAGOuDwAA3vHR+3a8D7I8M8enpaVFFy5cUEtLi7q6utTU1CRJmjBhgm688Ua99tpram9v1913363s7Gzt3btXTz31lB555JEBfZ+LFy9KkkpKSpw+BQAAkGYXL15UXl5ev/s906R06dKl2rFjR5/t+/fv16xZs7Rnzx6tXbtWzc3NCofDmjBhglasWKFly5Zp0KDEF691d3frzJkzGjFihAKBgJOn4LqP5i+1trYyf8kBjKdzGEtnMZ7OYSydlc7xDIfDunjxooqLi2O+73sm+CB1dJ53FuPpHMbSWYyncxhLZ5kwnr67jw8AAEB/CD4AAMAaBB+LZGVlqa6ujuX7DmE8ncNYOovxdA5j6SwTxpM5PgAAwBpc8QEAANYg+AAAAGsQfAAAgDUIPgAAwBoEH0ts3LhRM2bMUE5OjvLz86M+p6WlRVVVVcrJydGYMWP0ta99TVevXs1soR41fvx4BQKBHo9Nmza5XZZnvPDCCxo/fryys7NVWVmpn/3sZ26X5Enr1q3r83v4sY99zO2yPOHHP/6xFi5cqOLiYgUCAe3atavH/nA4rNraWo0dO1bDhg3TnDlzdOLECXeK9YB447l06dI+v6vz58/PSG0EH0tcuXJF999/v1asWBF1f1dXl6qqqnTlyhUdPHhQO3bs0Pbt21VbW5vhSr1rw4YNOnv2bOTxd3/3d26X5Ak//OEPtXr1atXV1enIkSOaOnWq5s2bp3Pnzrldmid9/OMf7/F7+JOf/MTtkjzhgw8+0NSpU/XCCy9E3b9582Y999xz2rp1qxobGzV8+HDNmzdPly9fznCl3hBvPCVp/vz5PX5XX3311cwUF4ZVXnnllXBeXl6f7f/+7/8eHjRoULitrS2y7Tvf+U44Nzc3HAqFMlihN40bNy78D//wD26X4UkVFRXhhx9+OPJ1V1dXuLi4OFxfX+9iVd5UV1cXnjp1qttleJ6k8L/+679Gvu7u7g4XFRWFn3766ci2jo6OcFZWVvjVV191oUJv6T2e4XA4XF1dHV60aJEr9XDFB5KkhoYGTZkyRYWFhZFt8+bNUzAY1DvvvONiZd6xadMmjRo1Sp/4xCf09NNP8zFhAq5cuaLDhw9rzpw5kW2DBg3SnDlz1NDQ4GJl3nXixAkVFxerrKxMixcvVktLi9sled6pU6fU1tbW4/c0Ly9PlZWV/J6m4MCBAxozZowmTpyoFStW6Pz58xn5vkMy8l1gvLa2th6hR1Lk67a2NjdK8pSVK1fqzjvv1MiRI3Xw4EGtXbtWZ8+e1ZYtW9wuzWi//e1v1dXVFfV379ixYy5V5V2VlZXavn27Jk6cqLNnz2r9+vWaOXOm/ud//kcjRoxwuzzP+ujfwGi/p/z7mJz58+frz/7sz1RaWqp3331XX//617VgwQI1NDRo8ODBaf3eBB8Pq6mp0be+9a2Yzzl69CiTG5M0kPFdvXp1ZFt5ebmGDh2qv/mbv1F9fT23ukfGLFiwIPLn8vJyVVZWaty4cfrRj36khx56yMXKgJ6+8IUvRP48ZcoUlZeX67bbbtOBAwf0mc98Jq3fm+DjYWvWrNHSpUtjPqesrCyhYxUVFfVZSdPe3h7ZZ6NUxreyslJXr17Ve++9p4kTJ6ahOn8YPXq0Bg8eHPld+0h7e7u1v3dOys/P1x133KHm5ma3S/G0j34X29vbNXbs2Mj29vZ2TZs2zaWq/KWsrEyjR49Wc3MzwQf9KygoUEFBgSPHmj59ujZu3Khz585pzJgxkqS9e/cqNzdXkydPduR7eE0q49vU1KRBgwZFxhLRDR06VJ/85Ce1b98+fe5zn5MkdXd3a9++ffrbv/1bd4vzgUuXLundd9/VkiVL3C7F00pLS1VUVKR9+/ZFgk4wGFRjY2O/K2UxMKdPn9b58+d7BMt0IfhYoqWlRRcuXFBLS4u6urrU1NQkSZowYYJuvPFGzZ07V5MnT9aSJUu0efNmtbW16YknntDDDz/MRzVxNDQ0qLGxUbNnz9aIESPU0NCgr371q/qrv/or3XTTTW6XZ7zVq1erurpad911lyoqKvTss8/qgw8+0AMPPOB2aZ7zyCOPaOHChRo3bpzOnDmjuro6DR48WF/84hfdLs14ly5d6nFl7NSpU2pqatLIkSN16623atWqVfrmN7+p22+/XaWlpXryySdVXFwcCezoKdZ4jhw5UuvXr9ef//mfq6ioSO+++64effRRTZgwQfPmzUt/ca6sJUPGVVdXhyX1eezfvz/ynPfeey+8YMGC8LBhw8KjR48Or1mzJvz73//evaI94vDhw+HKyspwXl5eODs7Ozxp0qTwU089Fb58+bLbpXnG888/H7711lvDQ4cODVdUVIQPHTrkdkme9PnPfz48duzY8NChQ8M333xz+POf/3y4ubnZ7bI8Yf/+/VH/jayurg6Hw9eWtD/55JPhwsLCcFZWVvgzn/lM+Pjx4+4WbbBY4/nhhx+G586dGy4oKAjfcMMN4XHjxoWXLVvW43Yq6RQIh8Ph9McrAAAA93EfHwAAYA2CDwAAsAbBBwAAWIPgAwAArEHwAQAA1iD4AAAAaxB8AACANQg+AADAGgQfAJ40a9YsrVq1qt/9gUBAu3btSvh4Bw4cUCAQUEdHR8q1ATAXvboA+NLZs2fplQagD4IPAF8qKipyuwQABuKjLgCe1d3drUcffVQjR45UUVGR1q1bF9nX+6OugwcPatq0acrOztZdd92lXbt2KRAIqKmpqccxDx8+rLvuuks5OTmaMWOGjh8/npmTAZARBB8AnrVjxw4NHz5cjY2N2rx5szZs2KC9e/f2eV4wGNTChQs1ZcoUHTlyRN/4xjf02GOPRT3m448/rmeeeUa/+MUvNGTIED344IPpPg0AGcRHXQA8q7y8XHV1dZKk22+/Xd/+9re1b98+/cmf/EmP5/3TP/2TAoGA/vEf/1HZ2dmaPHmyfvOb32jZsmV9jrlx40bde++9kqSamhpVVVXp8uXLys7OTv8JAUg7rvgA8Kzy8vIeX48dO1bnzp3r87zjx4+rvLy8R3ipqKiIe8yxY8dKUtRjAvAmgg8Az7rhhht6fB0IBNTd3e3YMQOBgCSlfEwA5iD4APC9iRMn6r//+78VCoUi237+85+7WBEAtxB8APjeX/7lX6q7u1vLly/X0aNH9R//8R/6+7//e0nXr+oAsAPBB4Dv5ebm6rXXXlNTU5OmTZumxx9/XLW1tZLEpGXAMoFwOBx2uwgAyLSdO3fqgQceUGdnp4YNG+Z2OQAyhOXsAKzwve99T2VlZbr55pv1y1/+Uo899pj+4i/+gtADWIbgA8AKbW1tqq2tVVtbm8aOHav7779fGzdudLssABnGR10AAMAaTG4GAADWIPgAAABrEHwAAIA1CD4AAMAaBB8AAGANgg8AALAGwQcAAFiD4AMAAKzxf+4p9ropIccOAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x='high', y='low')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "46b4bf3b-e663-4a4f-9e42-baa3fbb1c5bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading ../data/san+francisco,ca.csv...\n",
      "Loading ../data/new+york,ny.csv...\n",
      "Loading ../data/springfield,ma.csv...\n",
      "Loading ../data/boston,ma.csv...\n",
      "Loading ../data/springfield,il.csv...\n",
      "Loading ../data/albany,ny.csv...\n",
      "Loading ../data/los+angeles,ca.csv...\n",
      "Loading ../data/chicago,il.csv...\n"
     ]
    }
   ],
   "source": [
    "import glob\n",
    "all_dfs = []\n",
    "all_filenames = glob.glob('../data/*,*.csv')\n",
    "for one_filename in all_filenames:\n",
    "    print(f'Loading {one_filename}...')\n",
    "    city, state = one_filename.removeprefix('../data/').removesuffix('.csv').split(',')\n",
    "    one_df = pd.read_csv(one_filename,\n",
    "                     usecols=[1, 2, 19],\n",
    "                     names=['max_temp', 'min_temp', 'precipMM'],\n",
    "                     header=0)\n",
    "    one_df['city'] = city.replace('+', ' ').title()\n",
    "    one_df['state'] = state.upper()\n",
    "    all_dfs.append(one_df)\n",
    "df = pd.concat(all_dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "549c18f3-0645-4eb8-aa6d-56b0b19adf41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x12a95ae40>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.relplot(x='max_temp',\n",
    "            y='min_temp',\n",
    "            data=df.loc[df['city'] == 'Chicago'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "713a02c7-da70-4371-beae-bf376c5dd8d9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
